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Feat: add upgrade to app server modelList (#10556)
### Summary * Add model upgrade to listModel app server endpoint to support dynamically show model upgrade banner.
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@@ -11938,6 +11938,12 @@
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"supportsPersonality": {
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"default": false,
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"type": "boolean"
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},
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"upgrade": {
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"type": [
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"string",
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"null"
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]
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}
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},
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"required": [
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@@ -59,6 +59,12 @@
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"supportsPersonality": {
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"default": false,
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"type": "boolean"
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},
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"upgrade": {
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"type": [
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"string",
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"null"
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]
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}
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},
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"required": [
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@@ -5,4 +5,4 @@ import type { InputModality } from "../InputModality";
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import type { ReasoningEffort } from "../ReasoningEffort";
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import type { ReasoningEffortOption } from "./ReasoningEffortOption";
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export type Model = { id: string, model: string, displayName: string, description: string, supportedReasoningEfforts: Array<ReasoningEffortOption>, defaultReasoningEffort: ReasoningEffort, inputModalities: Array<InputModality>, supportsPersonality: boolean, isDefault: boolean, };
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export type Model = { id: string, model: string, upgrade: string | null, displayName: string, description: string, supportedReasoningEfforts: Array<ReasoningEffortOption>, defaultReasoningEffort: ReasoningEffort, inputModalities: Array<InputModality>, supportsPersonality: boolean, isDefault: boolean, };
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@@ -998,6 +998,7 @@ pub struct ModelListParams {
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pub struct Model {
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pub id: String,
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pub model: String,
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pub upgrade: Option<String>,
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pub display_name: String,
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pub description: String,
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pub supported_reasoning_efforts: Vec<ReasoningEffortOption>,
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@@ -90,7 +90,7 @@ Example (from OpenAI's official VSCode extension):
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- `turn/interrupt` — request cancellation of an in-flight turn by `(thread_id, turn_id)`; success is an empty `{}` response and the turn finishes with `status: "interrupted"`.
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- `review/start` — kick off Codex’s automated reviewer for a thread; responds like `turn/start` and emits `item/started`/`item/completed` notifications with `enteredReviewMode` and `exitedReviewMode` items, plus a final assistant `agentMessage` containing the review.
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- `command/exec` — run a single command under the server sandbox without starting a thread/turn (handy for utilities and validation).
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- `model/list` — list available models (with reasoning effort options).
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- `model/list` — list available models (with reasoning effort options and optional `upgrade` model ids).
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- `collaborationMode/list` — list available collaboration mode presets (experimental, no pagination).
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- `skills/list` — list skills for one or more `cwd` values (optional `forceReload`).
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- `skills/remote/read` — list public remote skills (**under development; do not call from production clients yet**).
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@@ -22,6 +22,7 @@ fn model_from_preset(preset: ModelPreset) -> Model {
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Model {
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id: preset.id.to_string(),
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model: preset.model.to_string(),
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upgrade: preset.upgrade.map(|upgrade| upgrade.id),
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display_name: preset.display_name.to_string(),
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description: preset.description.to_string(),
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supported_reasoning_efforts: reasoning_efforts_from_preset(
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@@ -51,6 +51,7 @@ async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
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Model {
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id: "gpt-5.2-codex".to_string(),
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model: "gpt-5.2-codex".to_string(),
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upgrade: None,
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display_name: "gpt-5.2-codex".to_string(),
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description: "Latest frontier agentic coding model.".to_string(),
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supported_reasoning_efforts: vec![
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@@ -80,6 +81,7 @@ async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
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Model {
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id: "gpt-5.1-codex-max".to_string(),
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model: "gpt-5.1-codex-max".to_string(),
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upgrade: Some("gpt-5.2-codex".to_string()),
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display_name: "gpt-5.1-codex-max".to_string(),
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description: "Codex-optimized flagship for deep and fast reasoning.".to_string(),
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supported_reasoning_efforts: vec![
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@@ -109,6 +111,7 @@ async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
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Model {
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id: "gpt-5.1-codex-mini".to_string(),
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model: "gpt-5.1-codex-mini".to_string(),
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upgrade: Some("gpt-5.2-codex".to_string()),
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display_name: "gpt-5.1-codex-mini".to_string(),
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description: "Optimized for codex. Cheaper, faster, but less capable.".to_string(),
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supported_reasoning_efforts: vec![
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@@ -130,6 +133,7 @@ async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
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Model {
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id: "gpt-5.2".to_string(),
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model: "gpt-5.2".to_string(),
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upgrade: Some("gpt-5.2-codex".to_string()),
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display_name: "gpt-5.2".to_string(),
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description:
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"Latest frontier model with improvements across knowledge, reasoning and coding"
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@@ -100,6 +100,7 @@ Each response yields:
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- `defaultReasoningEffort` – suggested effort for the UI
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- `supportsPersonality` – whether the model supports personality-specific instructions
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- `isDefault` – whether the model is recommended for most users
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- `upgrade` – optional recommended upgrade model id
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- `nextCursor` – pass into the next request to continue paging (optional)
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## Collaboration modes (experimental)
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